Technical Data Analyst

At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips.

Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing. We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve.

If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher.

We're looking for an experienced Technical Data Analyst to join our Data Technology team. This is an exciting opportunity to help shape and deliver high-quality data products that support reporting, analytics, regulatory requirements and business decision-making across our organisation.

Working at the intersection of business and technology, you'll partner with Data Engineers, Architects, Product Owners and key stakeholders to analyse complex insurance data, develop robust data models and ensure trusted datasets are delivered across our modern cloud data platform.

This role is ideal for someone who combines technical expertise with a genuine interest in solving business problems through data. You'll be comfortable working hands-on with SQL, Snowflake and dbt, while translating business requirements into scalable technical solutions.

This role is not a senior position and would suit someone looking for their next step.

We other hybrid working and the expectations is to be in London 3 days a week.

• Analyse complex insurance datasets across policy, claims, underwriting, finance and regulatory domains.
• Develop logical and physical data models to support reporting, analytics and operational processes.
• Define, document and maintain business and technical data definitions.
• Conduct data investigations and root-cause analysis to identify issues and support remediation.
• Perform source-to-target mapping and validate transformation logic across multiple systems.

• Develop and maintain data transformation pipelines using dbt.
• Build, test and optimise scalable data models within Snowflake.
• Create reusable datasets, metrics and semantic layers that support enterprise-wide analytics.
• Collaborate with Data Engineers to improve data platform performance, reliability and scalability.

• Design and execute data quality checks, reconciliations and validation controls.
• Validate source-to-target mappings and transformation requirements.
• Support data governance activities, standards and metadata management practices.
• Investigate and resolve data quality issues across multiple source systems.

• Translate business requirements into effective data solutions.
• Contribute to the design and delivery of data products and analytical services.
• Collaborate with technical and business teams to ensure data products are fit for purpose and aligned to organisational objectives.

• Previous experience within Insurance, Lloyd's Market, Specialty Insurance or Reinsurance environments.
• SQL skills with the ability to develop efficient, optimised queries.
• Hands-on experience with Snowflake.
• Proven experience developing data transformations and data models using dbt.
• An understanding of dimensional modelling and data warehousing principles.
• Experienc…